MEIOFAUNA MARINA
Biodiversity, morphology and ecology
of small benthic organisms
14
pfeil
MEIOFAUNA MARINA
Biodiversity, morphology and ecology of small benthic organisms
Volume 14 • July 2005
pages 1-207, 97 figs., 47 tabs.
Editor-in-Chief
Thomas Bartolomaeus, Freie Universität Berlin, Systematik und Evolution der Tiere, Königin-Luise-Str. 1-3, 14195 Berlin, Germany,
Tel. + 49 - 30 - 83 85 62 88 / Fax + 49 - 30 - 83 85 39 16
Managing Editor
Andreas Schmidt-Rhaesa, Zoomorphologie und Systematik, Morgenbreede 45, 33615 Bielefeld, Germany
Tel. + 49 - 521 - 106 - 27 20 / Fax + 49 - 521 - 106 - 64 26, E-mail a.schmidt-rhaesa@uni-bielefeld.de
Guest Editor
M. Antonio Todaro, Dipartimento di Biologia Animale, Università di Modena e Reggio Emilia, Via Campi 213/d, 41100
Modena, Italia
E-mail todaro.antonio@unimore.it
Thomas Bartolomaeus
Andreas Schmidt-Rhaesa
Pedro Martinez Arbizu
Werner Armonies
Susan Bell
Nicole Dubilier
Peter Funch
Marco Curini Galletti
Gerhard Haszprunar
Rony Huys
Ulf Jondelius
Reinhardt Møbjerg Kristensen
Marianne K. Litvaitis
Ken-Ichi Tajika
Seth Tyler
Magda Vincx
Wilfried Westheide
Editorial board
Freie Universität Berlin, Germany
Universität Bielefeld, Germany
Deutsches Zentrum für Marine Biodiversitätsforschung, Wilhelmshafen, Germany
Alfred-Wegener-Institut für Polar- und Meeresforschung, Wattenmeerstation List auf Sylt
University of South Florida, Tampa, FL, USA
Max-Planck-Institut für Molekulare Mikrobiologie, Bremen, Germany
University of Åarhus, Denmark
University of Sassari, Italy
Zoologische Staatssammlung, München, Germany
Natural History Museum, London, England
University of Uppsala, Sweden
Zoological Museum, University of Copenhagen, Denmark
University of New Hampshire, Durham, NH, USA
Nihon University School of Medicine, Tokyo, Japan
University of Maine, Orono, ME, USA
University Gent, Belgium
Universität Osnabrück, Germany
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MEIOFAUNA MARINA
Biodiversity, morphology and ecology
of small benthic organisms
14
Verlag Dr. Friedrich Pfeil
München
ISSN 1611-7557
Volume 14 of Meiofauna Marina presents,
with the only exception of the paper by Kapp & Giere,
proceedings from the Twelfth International Meiofauna Conference (TWIMCO)
held in Ravenna, Italy, from July 11-16, 2004.
This conference was hosted by the International Association of Meiobenthologists
(www.meiofauna.org) and organized by a committee from the universities
of Modena and Reggio Emilia as well as Bologna.
We are glad that Antonio Todaro (University of Modena and Reggio Emilia)
acted as Guest Editor in this volume of Meiofauna Marina.
Thomas Bartolomaeus, Chief Editor
Andreas Schmidt-Rhaesa, Managing Editor
Front cover photograph
Nanaloricus mysticus was the first species of Loricifera to be described.
Loricifera are now recognized as an abundant and typical element of diverse marine meiofaunal habitats.
Photo kindly by Reinhardt Møbjerg Kristensen, Copenhagen, Denmark.
Back cover photograph
Light micrograph of the nerillid polychaete Nerillidium gracile from Roscoff, France.
Dorsal view of live specimen (see Worsaae, this volume).
3
CONTENTS
Tomassetti, Paolo, Oliver Voigt, Allen G. Collins, Salvatore Porrello, Vicki B. Pearse and
Bernd Schierwater: Placozoans (Trichoplax adhaerens Schulze, 1883) in the Mediteranean Sea.....................................................................................................................................
5
Marotta, Roberto, Loretta Guidi, Lara Pierboni, Marco Ferraguti, M. Antonio Todaro and
Maria Balsamo: Sperm ultrastructure of Macrodasys caudatus (Gastrotricha: Macrodasyida) and a sperm-based phylogenetic analysis of Gastrotricha ...............................
9
Hummon, William D., M. Antonio Todaro and Wayne A. Evans: Video Database for
Described Species of Marine Gastrotricha ...........................................................................
23
Todaro, M. Antonio and Carlos E. F. Rocha: Further data on marine gastrotrichs from
the State of São Paulo and the first records from the State of Rio de Janeiro (Brazil) ..
27
Guidi-Guilvard, Laurence D., Serge Dallot and Jean-Philippe Labat: Variations in space
and time of nematode abundances at 2347 m depth in the North-Western Mediterranean ........................................................................................................................................
33
Mouawad, Rita: Characterization of meiobenthic communities of Lebanese sandy
beaches with emphasis on free-living marine nematodes ................................................
41
Worsaae, Katrine: Systematics of Nerillidae (Polychaeta, Annelida) ....................................
49
George, Kai Horst and Pedro Martínez Arbizu: Discovery of Superornatiremidae Huys
(Copepoda, Harpacticoida) outside anchialine caves, with the description of Gideonia
noncavernicola gen. et sp. nov. from the Patagonian continental slope (Chile) ..............
75
Faraponova, Olga, Domenica De Pascale, Fulvio Onorati and Maria Grazia Finoia: Tigriopus fulvus (Copepoda, Harpacticoida) as a target species in biological assays .............
91
Di Lorenzo, Tiziana, Donatella Cipriani, Paolo Bono, Ludovico Rossini, Paola De Laurentiis, Barbara Fiasca, Claudio Pantani and Diana M. P. Galassi: Dynamics of ground
water copepod assemblages from Mazzoccolo karstic spring (central Italy) ................
97
Maiolini, Bruno, Valeria Lencioni, Raffaella Berera and Vezio Cottarelli: Effects of flood
pulse on the hyporheic harpacticoids (Crustacea, Copepoda) in two high altitude
Alpine streams .........................................................................................................................
105
Kapp, Helga and Olav Giere: Spadella interstitialis sp. nov., a meiobenthic chaetognath
from Mediterranean calcareous sands .................................................................................
109
Mohamed, Eiman, Said Al-Kady, Aisha Al-Kandari and Jamyla Al-Saffar: Meiofauna
seasonal abundance in three Kuwaiti beaches ....................................................................
115
Calles, Alba, Magda Vincx, Pilar Cornejo and Jorge Calderon: Patterns of meiofauna
(especially nematodes) in physical disturbed Ecuadorian sandy beaches .....................
121
Moreno, Mariapaola, Valeria Granelli, Giancarlo Albertelli and Mauro Fabiano: Meiofaunal distribution in microtidal mixed beaches of the Ligurian Sea (NW Mediterranean) .......................................................................................................................................
131
Mitwally, Hanan M. and Hassan B. Awad: Distribution of meiofauna in relation to abiotic and biotic factors in a semi-closed harbor in Alexandria, Egypt .............................
139
Mitwally, Hanan M., Soha Shabaka, Hesham M. Mostafa and Youssef Halim: Distribution
of meiofauna inside and outside a Cymodocea nodosa meadow in Alexandria, Egypt .
145
Burgess, Robert, Jyotsna Sharma, R. Scott Carr and Paul Montagna: Assessment of storm
water outfalls in Corpus Christi Bay, Texas, USA using meiofauna ..............................
157
Gwyther, Janet: The effect of grazing gastropods on meiofaunal colonisation of pneumatophores in a temperate mangrove .................................................................................
171
Meiofauna Marina, Vol. 14
4
Casu, Daniela, Giulia Ceccherelli, Alberto Castelli and Marco Curini Galletti: Impact of
experimental trampling on meiofauna inhabiting rocky upper infralittoral bottoms
at the Asinara Island Marine Protected Area (NW Mediterranean) ...............................
183
Skjaeggestad, Hanne and Patrick J. S. Boaden: Impact of intertidal oyster trestle-culture
on the meiobenthos of a Strangford Lough sandflat .........................................................
189
Westheide, Wilfried: Meiofauna geographic distribution: vicariance and dispersal ..........
201
Meiofauna Marina, Vol. 14
157
Meiofauna Marina, Vol. 14, pp. 157-169, 9 figs., 3 tabs., July 2005
© 2005 by Verlag Dr. Friedrich Pfeil, München, Germany – ISSN 1611-7557
Assessment of storm water outfalls in Corpus Christi Bay,
Texas, USA using meiofauna
Robert Burgess*, Jyotsna Sharma**, R. Scott Carr*** and Paul Montagna****
Abstract
A previous Sediment Quality Triad (SQT) assessment was conducted at 36 sites in Corpus Christi Bay, Texas,
U.S.A. to determine the degree of sediment quality and extent of contaminant impacts caused by storm water
outfalls. The majority of sites were located near storm water outfalls, but other sites of concern (industrial and
domestic outfalls, produced water discharges, and dredging activity), and reference sites were also evaluated.
It was found that the macrofauna index of biotic integrity, sea urchin development and fertilization, and mysid
growth and survival were significantly inversely correlated with sediment contaminants. The purpose of the
current study was to determine if meiofaunal community characteristics (Harpacticoida species and Nematoda
feeding groups) were also inversely correlated with contaminants. The four most contaminated storm water sites
exhibited extreme reductions in measures of both macrofaunal and meiofaunal community integrity (indicated by
reductions in nematode and harpacticoid abundance, and harpacticoid diversity). However, re-suspension was a
confounding factor with organic pollutants at five relatively clean outfall sites, where it eliminated the harpacticoid
copepod community, and negatively affected the macrofaunal community. The composition of nematode genera at
all sites was consistent however the feeding groups composition was affected by sediment contaminants. Deposit
feeding nematodes were abundant at all sites with the non-selective deposit feeders predominant. Predators and
omnivores were the least abundant group. In general, of the 36 sites studied, the four most degraded sites (with
lowest sediment quality) were storm water outfall sites.
Keywords: Harpacticoida, Nematoda, Resuspension, Sediment Quality Triad, non-point sources
Introduction
Estuarine communities are increasingly susceptible to anthropogenic disturbances because
of rapidly increasing coastal populations and
subsequent shoreline development. The sources
of anthropogenic contamination result from
many human activities. Sources of contaminants
can be categorized into two types, point and
non-point, based on their origin. Most water
* Texas Commission on Environmental Quality, Austin, Texas 78711, U.S.A.
** University of Texas-San Antonio, Department of Biology, San Antonio, Texas 78249, U.S.A.
*** United States Geological Survey, Ecotoxicology Research Station, Texas A&M-Corpus Christi, Corpus Christi,
TX 78412, U.S.A.
**** University of Texas-Austin, Marine Science Institute, 750 Channel View Drive, Port Aransas, Texas 78373,
U.S.A.
Meiofauna Marina, Vol. 14
158
and sediment quality monitoring surveys have
been focused on point sources, such as industrially produced waters, dredging, spills, and municipal wastewater discharges (Coull & Chandler
1992). Non-point sources, such as runoff from
urban areas, agricultural runoff, landfill leakage, industrial runoff, and runoff from coastal
construction projects have continued to increase,
and have proved difficult to quantify. Non-point
source contaminant loading can account for up to
80 % of the total pollutant load in estuaries surrounded by developed areas (Kennish 1998). In
the United States, approximately 50 % of impaired
estuarine shorelines are caused by urban runoff
alone (Lindsey et al. 1997). Most urban runoff is
drained by storm sewers into nearby bodies of
water. This provides a point source discharge
of non-point source pollutants. Corpus Christi
(Texas, U.S.A.) storm water outfalls discharge
directly into Corpus Christi Bay. Pollutants (e.g.,
metals or organic compounds) quickly flocculate
and are deposited into sediments because the
chemical complexes, which were soluble in mildly
acidic rain water, become only sparingly soluble
in the high pH and high salinity environment of
the estuary (Libes 1992). The rapid change from
fresh water to high salinities of Corpus Christi
Bay causes flocculation of the pollutants near the
outfalls, providing a concentrating mechanism.
Consequently, acute biological responses would
be likely near stormwater outfalls.
One powerful technique to assess sediment
quality is the Sediment Quality Triad (SQT) approach (Chapman 1990). The approach is to identify potential chemical dose with measures of bulk
sediment contaminant concentrations; biological
responses with toxicity measurements, and ecological responses with macrofaunal community
indicators. Recently, Carr et al. (2000) used the
SQT approach to assess sediment quality near outfalls in Corpus Christi Bay by measuring chemical
indicators (sediment contaminant concentrations),
biological indicators (toxicity responses by sea
urchins, amphipods, and mysids), and ecological indicators (macrofauna community structure
reduced to an index of biotic integrity). Overall,
they sampled 36 sites and found four of the five
most degraded sites (stations S1, S2, S9, S15, 2)
were outfalls. Survivability was inversely correlated to contaminant concentrations and pollution
sensitive macrofauna, but positively correlated
with pollution tolerant macrofauna. There was
no significant correlation between contaminants
and macrofauna indicators. Meiofaunal samples
were taken, but not analyzed. Also, the outfalls
were along shorelines that are high energy environments, indicating that resuspension could be
confounded with contaminants. Benthic communities integrate effects of all forms of disturbance,
such as the cumulative effects of pollutants, as
well as effects of physical disturbances. Therefore,
assessment studies should include measurements
of physical variables as well as pollutants (Hall
1994).
Meiofauna have several attributes that make
them good candidates for use in sediment quality
assessments. 1) Meiofauna are sensitive to many
types of anthropogenic perturbations (Coull &
Chandler 1992; Giere 1993). 2) Most pollutants are
highly concentrated in the sediments, therefore
the benthos, both macrofauna and meiofauna,
are continually exposed due by their association
with sediments, and are more likely to exhibit
effects due to the contamination (Reynoldson and
Rodriguez 1999). 3) The meiofaunal community
however, is continually exposed to contaminants
throughout their entire life cycle because most
meiofauna taxa have direct benthic development
and a relatively sessile life style. In contrast,
most macrofauna have planktonic larval stages,
so only adult forms are exposed to sediment
contaminants. 4) Meiofauna also have short life
cycles, on the order of weeks to months, which
would allow detection of toxic effects that affect
only part of the life cycle. 5) Meiofauna are more
abundant than macrofauna at the same site, often
by at least an order of magnitude.
The objective of the present study was to reassess storm water outfalls in Corpus Christi Bay
using meiofauna community characteristics. The
meiofaunal samples were collected at the same
stations and times as samples for the macrofaunal
SQT study (Carr et al. 2000). The objective of the
current study was to determine if Harpacticoida
and Nematoda abundance and species diversity,
and Nematoda feeding groups were also inversely
correlated with contaminants, and if there are
differences between macrofaunal and meiofaunal
community response patterns. Corpus Christi
Bay is a large, open bay system, averaging only
2.3 meters in depth (Armstrong 1987), therefore
wave driven re-suspension could be an important
physical disturbance. A re-suspension index was
estimated to characterize this disturbance at the
sites during the sampling period. The SQT data
from Carr et al. (2000), and new meiofaunal and
Burgess et al.: Meiofaunal Assessment of Outfalls
159
Fig. 1. Sampling stations within Corpus Christi Bay, Texas, USA. Hatching indicates wetlands.
physical data were analyzed with univariate
and multivariate techniques to perform the reassessment and compare meiofauna response to
previously described macrofauna response.
Methods
Corpus Christi Bay is located in the semi-arid
climatic zone of Texas, U.S.A. (Fig. 1). The Nueces
River drains into Nueces Bay, which is connected
to Corpus Christi Bay, which is connected to the
sea via Aransas Pass. The largest city bordering
the Corpus Christi Bay is Corpus Christi, with a
2000 population of about 277,500 people, and is
located on the south and west sides of the bay.
The Port of Corpus Christi is the seventh largest
port in the U.S.A. Thirty-six sites were sampled
(Fig. 1, Carr et al. 2000). Twenty-eight sites were
selected with suspected point or non-point source
pollution based on a review of biotic and chemical
studies done in Nueces and Corpus Christi Bays
Meiofauna Marina, Vol. 14
(White et al. 1983; O’Connor & Ehler 1991; Barrera
et al. 1995; Ward & Armstong 1996). Fifteen sites
were near storm water outfalls (and named with
a prefix S), 13 other sites were included because
they were near point sources of anthropogenic
disturbance, such as, thermal effluents, heavy
industrial sites, produced waters, wastewater effluents, spoil islands, and dredged channels, these
sites had no prefix. Eight reference sites (with a
prefix R) were chosen because they had been used
as historical reference sites (Montagna & Kalke
1992; Martin & Montagna 1995), or they were in
areas with no obvious point or non-point sources
of contaminants. Four sites; R6, R7, 13, and S15,
were not located in the Corpus Christi Bay system,
but just to the south in Laguna Madre.
Detailed site descriptions and sampling methods can be found in Carr et al. (1998). A more
concise description of the sampling methods can
be found in Carr et al. (2000). The macrofaunal
benthic index of biotic integrity (BIBI) is also
provided in Carr et al. (2000). The average hourly
160
wind direction from true north and average
wind speed from November 17-28 was obtained
from NOAA’s National Data Buoy Data System
(NOAA 1999). Water depth over submerged bars
and fetch distance was estimated from Corpus
Christi Bay NOAA bathymetric chart #11309. Only
methods not described in these publications are
described below.
During sampling, meiofauna samples were
collected with 1.9 cm internal diameter butylate
core tubes, sampling an area of 2.84 cm2. Three
cores were taken from each site. The top 2 cm
of each core was extruded, placed into a 50 ml
polypropylene centrifuge tube, and preserved
with 3.7 % formalin buffered with 63 µm filtered seawater. Meiofauna were extracted from
sediment using an isopycnic separation technique
employing colloidal silica sol, Ludox® HS40
(Burgess 2001). Meiofauna were then recovered
by decanting the sol through a 63 µm sieve. Extraction efficiencies was the same in samples with
different sediment composition. The method had
an average extraction efficiency of 97.4 ± 2.0 % for
the total meiofaunal community (Burgess 2001).
Harpacticoids and nematodes were identified
to the lowest taxonomic level possible. Nematodes
were transferred to glycerin using the method
of Seinhorst (1959). A representative sample of
about 100 nematodes was examined when over
200 nematodes were present in a sample. Species
diversity (Shannon diversity index H' and Pielou
eveness index J') for harpacticoids and nematodes
was calculated by pooling all three replicates for
each site.
Nematodes were further identified into four
feeding groups, based on their buccal morphology (Wieser 1953). Selective deposit feeders (1A)
contain the species without or almost without a
buccal cavity. Non-selective deposit feeders (1B)
contain the species with a wide unarmed buccal
cavity. Epigrowth feeders (2A) are species with
a small armed buccal cavity. Predators (2B) have
wide buccal cavities and glands opening on teeth.
Although these categories are now recognized as
oversimplified because nematodes have broader
food preferences (Moens & Vincx 1997), the original four feeding groups are used in this study.
Calculation of Re-suspension Index. Re-suspension of sediment by wind driven waves for
each site was estimated from bottom current
velocity predicted under the small amplitude
wave theory (U.S. Corps of Engineers 1977). Two
assumptions about the sediment were made to
estimate the minimum velocity needed for resuspension. First, that the sediment was not compacted or armored, which is a good assumption
for the top flocculent layer in an estuary. Second,
the minimum velocity needed to re-suspension
would not vary appreciably with sediment grain
size (phi) between sites in the study, which is valid
in this case because all the sediments fell within a
phi range from silty clay to very fine sand. Within
this phi range, sediment re-suspension velocities
fall within in a relatively flat portion of Postma’s
(1967) sediment transport curve. Therefore, a
value of 12.2 cm · sec–1 was chosen, because this
value would cause re-suspension in all sediment
types from silt (+8 phi) to fine sand (+4 phi), which
encompassed all the sediments encountered
in the study area. The re-suspension index (R)
was created as a percentage of a predicted wind
driven wave height (H) divided by an estimated
minimum wave height (Hmin) needed to produce
a bottom velocity sufficient for re-suspension at
the station depth:
H
R = ———
Hmin
A value equal or greater than one hundred would
indicate that sediment at a site was being re-suspended during the sample period. Wave height
(H) and wave period (T) were estimated using
Wilson’s shallow water formulas (Bretschnelder
1969). These formulas model fetch limited waves
in shallow water:
gF { –2
)) )
U2 · (0.30 · (1 – (1 + (0.004 · ——)
U2
Height (H) = —————————————————
g
gF | –5
) )
U · (8.60 · (1 – (1 + 0.008 · ——)
2
Period (T) = —————————————U
————
g
To obtain height and period from the equations,
the values of gravity (g), wind speed (U), and
fetch (F) must be known. Gravity (g), a constant,
was expressed as 32 feet per second in these formulas. Average Wind speed (U) was expressed
in international nautical miles per hour. Wind
speed (U) and direction were obtained using
vector averaging of automated buoy station
data in Port Aransas (NBS 1996). Fetch (F) was
estimated by a graphical method using NOAA
map #11309 for Corpus Christi Bay (1991), and
resultant wind direction to estimate the distance
along the line from the site to the leeward shoreBurgess et al.: Meiofaunal Assessment of Outfalls
161
line. The minimum wave height (Hmin) needed
to produce a bottom velocity high enough to
re-suspend sediment was calculated using the
wave period (T), the minimum bottom velocity needed for sediment re-suspension, and the
relative depth (d/Lo) graphical method (Figure
4-20, U.S. Corps of Engineers 1977). Calculation
of wave height at three sites (R3, 5, and S4) was
complicated because of the bathymetry of the
basin. These sites were in the leeward shadow of
shallow sandbars, and additional calculations had
to be made to allow for the decay of wave height
due to friction with the shallow sand bottom. If
the initial wave height (Hi) at the windward edge
of the bar, as calculated with Wilson’s formula,
exceeds the maximum stable wave height (Hmax),
the wave will become unstable and decay will occur due to friction (U.S. Corps of Engineers 1977).
An equivalent wave height (He) was calculated
that estimates how waves would behave due to
opposing forces of increasing fetch length across
the bar and friction with the bar. After passing
over the shallow bar, the waves were assumed to
grow by Wilson’s equations again until reaching
the study sites.
A one-way analysis of variance (ANOVA) was
performed to test for differences among sites for
meiofaunal community abundance and diversity
indices. Sites with no harpacticoids were omitted
from the analysis. The abundance data were log
(n+1) transformed and then standardized (Sharma
1996). The variables in the higher taxonomic level
ANOVA were: total abundance, Nematoda, Harpacticoida, and “Others” which included the rarer
taxa, Foraminifera, Gastrotricha, Kinorhyncha,
Mollusca, Nemertea, Ostracoda, Tardigrada, and
Turbellaria. The general linear model procedure
(GLM) was used to test the null hypothesis that
there were no significant differences among sites
(SAS 1989). The distribution of the residual errors for each variable were examined to check if
the assumption of normality had been violated
(Winer 1971). Tukey multiple comparison tests
were calculated on the means of each variable,
to separate groups of sites that were statistically
different from one another.
Multivariate analysis was performed on the
environmental data using principal component
analysis (PCA), a multivariate variable reducing
technique. The environmental data set included
hydrological, contaminant, and geological variables. The PCA is sensitive to the number of variables of the input data set that are measuring the
Meiofauna Marina, Vol. 14
same parameter (Kachigan 1986). Therefore, the
environmental variables had to be reduced. The
data reduction was accomplished in two steps.
First, of the 11 trace metals measured, only the
metals which exceeded the threshold effect level
in sediment quality guidelines set out by MacDonald et al. (1996) and Long et al. (1995) were
used in the analysis. Second, 134 species of organic
pollutants were summed into the following five
categories: national status and trends polycyclic aromatic hydrocarbons (NSTPAH’s), organochlorine insectides mirex and the camphenes
(Chlordane), dichloro-diphenyl-trichloro-ethane
known as DDT and its metabolites DDE and DDD
(DDT), polychlorinated biphenols (PCB’s), and
other chlorinated hydrocarbons (HCH’s). This
assumes that within each class of compounds, a
chemical species would have an additive effect on
biological systems rather than a synergistic one.
All measurement data was log (n+1) transformed
and standardized, while percent data were arcsine
transformed and standardized (James & McCulloch 1990). The analysis was performed using the
SAS FACTOR procedure on the covariance matrix
and the VARIMAX rotation procedure (SAS 1991).
The SAS program is provided in (Long et al. 2003).
The PCA station scores were used to correlate the
environmental setting with the biological variables with Pearson product-moment correlation
coefficients (r).
Community structure of macrofauna species was analyzed by multivariate methods.
Ordination of samples was performed using
the non-metric multidimensional scaling (MDS)
procedure described by Clarke & Warwick (2001)
and implemented in Primer software (Clarke &
Gorley 2001). The software creates a Bray-Curtis
similarity matrix among all samples and then
an MDS plot of the spatial relationship among
the samples. The data set was plotted using the
site name as the symbol. Community structure
patterns for macrofauna, harpacticoids, and
nematodes was compared using the RELATE
procedure.
Results
Environment: Resuspension and Contaminants.
The resuspension index varied over four orders of
magnitude, ranging from 0.3 % to 300 % (Fig. 2).
The index exceeded 100 %, indicating that the
minimum wave height needed for re-suspension
162
Fig. 2. Resuspension index at each station.
was exceeded at sites S5, S6 and S7, during the
sampling interval, and therefore sediment at these
sites was being re-suspended. A fourth site, S8,
was above 95 % of the necessary wave height for
re-suspension. One other site, S3, had approximately 75 % of the necessary wave height needed
for sediment re-suspension. As expected, sand
content was highest only at stations with high,
greater than 50 %, resuspension indices (Fig. 3).
The sandiest stations, and those with the highest
resuspension index were typically stormwater
(S) outfall stations, which all are named with the
prefix S (Figs. 1-3).
Adding the resuspension index to environ-
Fig. 4. Principal component loads of all environmental
variables.
Fig. 3. Resuspension index as a function of sand content
at each station.
mental data previously analyzed improved the
multivariate analysis considerably (Fig. 4). The
first two principal components from the PCA
of the chemical data set were retained, which
explained 64 % of the variance of the original
data. The first axis, ChemPC1, which represented
47 % of the variance in the original data set, indicated that trace metals strongly covaried with
granulometry. The second axis ChemPC2, represented 17 % of the variance, and had high positive
loadings of cyclic organic pollutants. Separation
of sites by the factor scores of ChemPC1 and
ChemPC2 indicated that most of the storm water
outfall sites had low loadings of metals and granulometry, but a gradient from low to high cyclic
organic loadings. All reference sites and most of
the other sites of concern had very low loadings
of cyclic organic pollutants. The two sites that
did not fit into either trend had extreme values
of dissolved oxygen; site 9 was supersaturated,
and site S15 was anoxic.
Meiofauna. Meiofaunal abundance ranged from
12,062 individuals 10 cm–2 at site 2 to 188 individuals 10 cm–2 at site S15. The average abundance for
the meiofaunal community for all sites was 2099
individuals 10 cm–2 in the top 2 cm of sediment.
Nematodes, at 77 %, dominated the community
and averaged 1625 individuals 10 cm–2. Harpacticoid copepods comprised 6 % of the community
and averaged 115 individuals 10 cm–2. The remaining 17 % of the community was composed
of eight other taxa (Foraminifera, Gastrotricha,
Kinorhyncha, Mollusca, Ostracoda, Nemertea,
Tardigrada, Turbellaria) and averaged 359 individuals 10 cm–2.
Burgess et al.: Meiofaunal Assessment of Outfalls
163
Table 1. Nematoda found during the study. Taxon, feeding group (FG), and average abundance (number/
10 cm2) over all stations and samples.
Taxon
FG Abundance
CHROMADORIDA Filipjev 1929
Chromadoridae Filipjev 1917
Chromadora sp.
Chromadorita pharetra Ott 1972
Euchromadora sp.
Neochromadora sp.
Hypodontolaimus sp.
Spilophorella
2A
2A
2A
2A
2A
2A
2.22
10.58
26.91
2.26
145.17
1.59
0.06
Ethmolaimidae Filipjev & Stekhoven 1941
Gomphionema sp.
2A
0.60
Selachinematidae Cobb 1915
Halichoanolaimus sp.
Richtersia sp.
Synonchiell sp.
2B
2A
2B
9.90
0.59
2.39
Cyatholaimidae Filipjev 1918
Pomponema sp.
Paracanthonchus sp.
Cyatholaimus sp.
2A
2A
2A
28.74
2.04
18.43
Desmodoridae Filipjev 1922
Eubostrichus sp.
Metachromadora sp.
Spirinia sp.
Stilbonema sp.
1A
2A
2A
1A
1.03
150.60
4.29
2.48
Desmoscolecidae Shipley 1896
Desmoscolex sp.
0.22
Microlaimidae Micoletzky 1922
Microlaimus sp.
2A
40.51
Monoposthiidae Filipjev 1934
Monoposthia sp.
2A
19.14
Leptolaimidae Orley 1880
Camacolaimu sp.
Dagda sp.
Leptolaimus sp.
1A
1A
1A
0.12
0.29
7.50
Tarvaiidae Lorenzen 1981
Tarvaia sp.
Ceramonematidae Cobb 1933
Ceramonema sp.
Pselionema sp.
Pterygonema sp.
0.15
1A
1A
1A
2.46
0.84
1.10
MONHYSTERIDA Filipjev 1929
Taxon
FG Abundance
Siphonolaimidae Filipjev 1918
Siphonolaimus sp.
1A
14.94
Linhomoeidae Filipjev 1922
Terschellingia longicaudata De Man 1907
Eumorpholaimus sp.
Metalinhomoeus sp.
Linhomoeus sp.
1A
1B
1B
1B
66.79
1.45
2.00
82.22
Axonolaimidae Filipjev 1918
Ascolaimus sp.
Axonolaimus sp.
Odontophora sp.
Pseudolella sp.
1B
1B
2B
1B
1.00
42.26
51.13
0.09
Diplopeltidae Filipjev 1918
Areolaimus sp.
Campylaimus sp.
1A
1A
1.14
0.29
Comesomatidae Filipjev 1918
Sabatieria pulchra (Schneider 1906)
Paracomesoma sp.
Mesonchium sp.
Dorylaimopsis metatypicus Chitwood 1936
1B
1B
2B
2B
60.86
15.78
3.41
30.45
Enoplidae Dujardin 1845
Enoplus sp.
1A
0.06
Thoracosomopsidae Filipjev 1927
Enoplolaimus sp.
Epacanthion sp.
Trileptium sp.
2B
2B
2B
7.52
0.52
0.15
Anoplostomatidae Gerlach & Riemann 1974
Anoplostoma sp.
1B
Chaetonema sp.
1B
2.62
16.99
Anticomidae Filipjev 1918
Anticoma columba Wieser 1953
1A
18.42
Ironidae de Man 1876
Dolicholaimus sp.
Syringolaimus sp.
2B
2B
0.09
4.80
Leptosomatidae Filipjev 1916
Leptosomatum sp.
1A
0.22
Oxystominidae Chitwood 1935
Halailaimus sp.
Oxystomina sp.
1A
1A
4.12
14.37
Oncholaimidae Filipjev 1916
Oncholaimoides striatus Chitwood 1937
Viscosia sp.
Oncholaimus sp.
2B
2B
2B
19.03
35.79
17.93
Enchelidiidae Filipjev 1918
Eurystomina sp.
ENOPLIA Pearse 1942
Xyalidae Chitwood 1951
4.29
Amphimonhystera sp.
1B
0.60
Paramonhystera canicula Wieser & Hopper 1967
1B
4.27
Daptonema sp.
1B
350.48
Diplolaimella sp.
1B
0.39
Gonionchus sp.
1B
6.83
Rhynchonema sp.
1B
0.34
Steineria sp.
1B
14.83
Theristus sp.
1B
52.86
Trichoheristus sp.
1B
2.72
Xyala sp.
1B
1.25
2B
2.52
Tripyloididae Filipjev 1918
Bathylaimus sp.
Tripyloides sp.
1B
1B
1.19
2.23
Rhabdodemaniidae Filipjev 1934
Rhabdodemania sp.
2B
0.23
Sphaerolaimidae Filipjev 1918
Dolicholaimus sp.
Sphaerolaimus sp.
Trefusiidae Gerlach 1966
Trefusia sp.
Tobrilus hopei Loof & Riemann 1976
1A
1A
13.29
0.44
Meiofauna Marina, Vol. 14
2A
2B
9.45
3.89
164
Fig. 5. Multidimensional scaling plot based on similarity of nematode species at all stations (MDS, 40 %
similarity circled).
Fig. 6. Multidimensional scaling plot based on similarity of nematode feeding groups at all stations (MDS,
80 % similarity circled).
Fig. 7. Multidimensional scaling plot based on similarity of harpacticoid species at all stations (MDS, 20 %
similarity circled).
Fig. 8. Multidimensional scaling plot based on similarity of macrofauna species at all stations (MDS, 40 %
similarity circled).
Nematoda. A total 75 genera of nematodes
were identified (Table 1) from 30 families. Some
chromadorid and xyalid juveniles could only
be identified to the family level. The dominant
species were Daptonema 350 individuals 10 cm–2,
Metachromadora 150.60 individuals 10 cm–2, Neochromadora 145.17 individuals 10 cm–2, Linhomoeus
82.22 individuals 10 cm–2, individuals 10 cm–2.
There were five groups of stations where there
was 40 % similarity of species (Fig. 5). Most outfall
stations grouped together.
The relative distribution of the four feeding
groups was significantly different at the study
sites (Fig. 6). A multivariate analysis of the feeding
groups at the sites showed a significant inverse
relationship between the epigrowth feeders and
the non-selective deposit feeders (ANOSIM,
p < 0.0001). The non-selective deposit feeders,
IA, were dominated by Terschellingia longicau-
data and prevalent at stations 6, R7 and 13. The
selective deposit feeders, 1B, were dominated by
Daptonema sp. and comesomatids and prevalent
at most of the stations. The deposit feeders were
well represented at stations S1 and S15 where no
macrofauna were present. The epigrowth feeders,
2A, were dominant at stations 2 and S7, the two
sites that also had the lowest macrofauna species
diversity.
Harpacticoida. The average harpacticoid species
abundance ranged from 7.994 individuals per
10 cm–2 for the cletodid Enhydrosoma aff. lacunae,
which was the overall dominant harpacticoid
species in the bay, to 0.033 individuals per 10 cm–2
for rare species that were found only once in the
study (Table 2). The five most dominant species
in the study were Enhydrosoma aff. lacunae 7.99
individuals 10 cm–2, Enhydrosoma aff. herrerai
Burgess et al.: Meiofaunal Assessment of Outfalls
165
5.59 individuals 10 cm–2, Halectinosoma sp. B 4.90
individuals 10 cm–2, Ectinosoma sp. A 4.71 individuals 10 cm–2, and Enhydrosoma aff. hopkinsi 4.24
individuals 10 cm–2.
There was very little similarity among stations
in the harpacticoid species distributions. There
would be 17 station groups if we used the same
40 % similarity criteria used for nematodes. When
limited to 20 % similarity, harpacticoid species
were found to distribute among seven groups
(Fig. 7). Most of the outfall stations grouped
together.
Comparison of Meiofaunal and Macrofauna
Species. In the original paper (Carr et al. 2000),
macrofauna species were analyzed by principal
components analysis. Here we present a reanalysis of the species using MDS (Fig. 7). Using the
40 % similarity level, as with nematodes, there
are five station groups and three stations that
are unique. Again, the outfall stations appear to
group together. Communities of all organisms
(nematodes, harpacticoids, and macrofauna)
basically had the same station grouping patterns
(RELATE, Fig. 8).
Table 2. Harpacticoid copepods found in the study. Abundance (n 10 cm–2).
Taxon
Abundance
Longipediidae (Sars 1903)
Longipedia americana (Wells 1980)
0.164
Canuellidae (Lang 1944)
Coullana canadensis (Willey 1923)
Coullana sp. A
0.790
0.691
Ectinosomatidae (Sars 1903)
Arenosetella aff. germanica
Ectinosoma sp. A
Pseudobradya sp. A
Pseudobradya sp. B
Halectinosoma sp. A
Halectinosoma sp. B
Halectinosoma sp. C
Halectinosoma sp. D
Halectinosoma spp.(unidentified)
Sigmatidium sp. A
Ectinosomatidae sp. A
Ectinosomatidae sp. B
Ectinosomatidae sp. C
Ectinosomatidae sp. D
Ectinosomatidae (unidentified)
0.099
0.066
0.033
0.263
0.592
4.902
0.033
0.033
0.197
0.164
4.705
0.033
0.164
0.296
0.757
Tachidiidae (Sars 1909)
Microarthridion sp. A
0.033
Harpacticidae (Sars 1904)
Harpacticus chelifer (Müller 1776)
Harpacticus aff. littoralis
Zausodes arenicolus (Wilson 1932)
Zausodes areolatus (Geddes 1968)
0.033
0.033
0.362
0.164
Peltidiidae (Sars 1904)
Alteutha sp. A
0.066
Tegastidae (Sars 1904)
Parategastes sp. A
0.033
Thalestridae (Sars 1905)
Diarthrodes sp. A
Dactylopusia sp. A
0.066
0.033
Diosaccidae (Sars 1906)
Stenhelia (Delavalia) sp. A
Stenhelia (Delavalia) sp. B
Stenhelia (unidentified)
Pseudostenhelia aff. wellsi
2.665
0.757
1.053
0.066
Meiofauna Marina, Vol. 14
Taxon
Amphiascus aff. parvus
Amphiascoides sp. A
Amphiascoides sp. B
Amphiascoides sp. C
Robertgurneya hopkinsi (Lang 1965)
Robertsonia aff. salsa
Robertsonia sp. A
Paramphiascella sp. A
Haloschizopera sp. A
Diosaccidae (unidentified)
Abundance
0.033
0.329
0.066
0.033
0.263
0.296
0.033
0.033
0.099
1.086
Metidae (Sars 1910)
Metidae (unidentified)
0.099
Tetragonicipitidae (Lang 1944)
Odaginiceps sp. A
0.066
Canthocamptidae (Sars 1906)
Cletocamptus aff. helobius
Cletocamptus sp. A
Cletocamptus sp. B
Heteropsyllus sp. A
Mesochra sp. A
Canthocamptidae (unidentified)
2.895
0.559
0.033
0.033
0.033
0.329
Cletodidae (Scott 1905)
Cletodes tuberculatus (Fiers 1991)
Cletodes sp. A
Enhydrosoma aff. lacunae
Enhydrosoma aff. herrerai
Enhydrosoma aff. hopkinsi
Enhydrosoma stylicaudatum (Willey 1935)
Enhydrosoma sp. A
Enhydrosoma sp. B
Enhydrosoma sp. C
Enhydrosoma (unidentified)
Cletodidae (unidentified)
0.559
0.921
7.994
5.593
4.244
0.033
0.066
0.230
0.033
1.842
3.619
Laophontidae (Scott 1905)
Quinquelaophonte capillata (Wilson 1932)
Laophonte sp. A
Paralaophonte brevirostris (Claus 1863)
Asellopsis sp. A
0.099
0.066
0.033
0.066
Thompsonulidae (Scott 1905)
Thompsonula curticauda (Wilson 1932)
0.428
166
Discussion
The objective of this study was to assess the impact
of storm water outfalls, as well as several other
point sources of pollution, on the meiobenthic
community. The storm water outfalls provide a
point discharge of non-point source pollutants,
and the change from fresh water to oceanic salinity has resulted in increased levels of metals and
organic pollutants in the sediments at several
sites. However, bulk sediment chemical loads
do not always predict biological availability
due to sediment binding (Libes 1992). Biological
communities have long been used in ecological
monitoring by interpreting univariate metrics,
such as species diversity and abundance with
trends predicted by conceptual ecological models
(Reynoldson & Rodriguez 1999).
Meiofauna have been widely used to determine the effects of anthropogenic disturbance
in the environment and have been shown to be
sensitive to many classes of pollutants (Coull &
Chandler 1992). Because of their benthic lifestyle,
high abundances, short generation times, and
direct benthic development, meiofauna are ideal
for detecting localized pollution effects. However,
since they integrate chemical and physical disturbances over time, determining if the meiofaunal
community was being affected by natural or
anthropogenic stressors can be difficult to resolve
(Warwick 1993).
The presence of nematodes at all sites, including the highly toxic sites S1 and S15 where
macrobenthos were absent, indicates that they
are resilient to contaminants. The composition of
the trophic groups was not correlated to a single
variable of toxicity assessment (Warwick & Clarke
1998). Because of the lack of information on ecological and environmental factors that could affect
distribution of nematode species, we can only
make broad generalized observations here. The
distribution of the nematode species assemblages
(Fig. 5) was different from the distribution of the
nematode feeding groups (Fig. 6). This may be
attributed to the heterogenous habitat and the
effect of sediment type, salinity and individual
species tolerance for the contaminants. The only
site that was clearly distinguished from the others was R1, near the Nueces River delta, where
nematode density was low and the composition
of the predator/omnivore species, Sphaerolaimus
sp. was high. Site 2 was the only site that was
clearly differentiated in the nematode, copepod
and macrofauna composition. The nematode diversity at this site was very low and dominated
by a chromadorid. The cooling water discharge
site in Nueces Bay had low contaminants, but
exhibited high sea urchin and mysid toxicity, and
the highest temperature of all sampling sites.
Comparison of Environment with Communities.
Community patterns and responses were related
to the chemical environmental background at each
station by correlating principal component (PC)
scores with community characteristics (Table 3).
The first PC axis (PC1) represents a gradient of
sediments contaminated with heavy metals and
containing high clay content to relatively clean
sediments with high sand content (Fig. 4). The second PC axis (PC2) represents a contrast between
high organic pollutants and low organics. The PC2
axis was a composite of the cyclic organic pollutants: organochlorinated insecticides, clorinated
aromatics and polycyclic aromatic hydrocarbons.
All of these pollutants strongly sorb to sediment
particles (Kennish 1998), and their chemical similarities may account for the covariation.
The covariation of metals and clay is probably due to both direct ionic absorption of metal
ions by clay particles, and the flocculation of
metal containing organic ligands which requires
a relatively low energy environment (Libes 1992).
Because trace metal pollutants covary with granulometry, these variables are confounded and it is
not possible to separate effects due to grain size
or trace metals.
The toxicity data from the original study and
the macrofauna benthic index of biotic integrity
(BIBI) were also compared to the new PC scores
with the resuspension index. Survivability in
toxicity tests (i.e., urchin fertilization, urchin
embryo development tests, and mysid growth)
significantly decreased with increasing metals and clay content (PC1), but organics (PC2)
had no effect on toxicity. The urchin embryo
development and urchin fertilization tests, were
pore water tests, which eliminate granulometry
entirely as a factor leaving only dissolved trace
metals as relevant factors on PC1. Urchins are
known to be very sensitive to dissolved metals
(Carr et al. 1996). These results imply that trace
metals are the important variable in these tests,
not granulometry.
The abundance and diversity of harpacticoid
Burgess et al.: Meiofaunal Assessment of Outfalls
167
copepods would be expected to decline more
rapidly with increasing trace metal concentrations than the less sensitive nematodes (Coull &
Chandler 1992). However, in this study harpacticoid abundance and diversity, increased with
increasing trace metal and clay concentrations
(Table 3). The community structure patterns were
driven by high abundances of cletodids, which
are morphologically adapted to an epibenthic
life style, and therefore more likely to be found
in low energy environments with clay/silt dominated sediments (Coull 1977). Sites estimated to
have strong sediment resuspension (i.e., an index
value >100, Fig. 2) had no harpacticoid copepod
community regardless of the values of PC1 or
PC2. Therefore, sediment granulometry plays a
confounding role in determining pollution effects
of trace metals.
The significant negative correlations of trace
metals and granulometry with nematode abundance, rare taxa abundance, and total abundance
are consistent with a pollution effect under the
succession theory (Rhoads et al. 1978), if trace
metal concentration and not granulometry are
driving the trends (as stated above). Nematodes
in laboratory experiments are sensitive to metals in ranges found at some of the sites (Coull &
Chandler 1992). The agreement of higher level
taxa responses in the field with in vitro toxicological tests also suggests that trace metals are the
causative factors affecting these three community
metrics, not granulometry.
Nematode abundance and the nematode/
copepod ratio decreased significantly with increasing metals. Nematode diversity did not
correlate to either metals or organics. As mentioned above, the pollution effect on harpacticoid abundances was confounded by effects of
Fig. 9. Relatedness of the multidimensional scaling
plots for nematode, harpacticoid, and macrofauna species (Figures 5, 7, and 8).
granulometry. Thus, the nematode/harpacticoid
ratio could be invalid as a pollution detection
metric. Also, the nematode/harpacticoid ratio
was deemed unreliable for habitats other than
sandy high energy sediments, where interstitial
forms dominate (Raffaelli 1987). In the present
study, not all sites were high energy (Fig. 2), and
few truly interstitial harpacticoids were found.
Therefore the validity of the ratio is suspect.
Cyclic organic pollutants had significant negative correlations with harpacticoid abundance,
harpacticoid species diversity measures, and the
original macrofauna BIBI (Table 3). There was
no significant effect of the cyclic organic pollutants in the toxicological data, suggesting that the
cyclic organics may be having a chronic effect on
the benthos, or only affecting a critical stage of
the life cycle of these organisms. Very little work
has been done with the effect of sediment bound
pesticides and organic pollutants on meiofaunal
communities (Coull & Chandler 1992). However,
because of the intimate association of meiofauna
and macrofauna with sediments, it is expected that
critical developmental stages could be affected.
Table 3. Matching environmental variables with community metrics. Pearson correlation coefficients and significance level, but no correlation is given if not significant.
Metric
*Toxicity
*Macrofauna BIBI
Nematode abundance
Harpacticoid abundance
Nematode/Copepod Ratio
Harpacticoids H'
Nematodes H'
*
Data from Carr et al. 2000
Meiofauna Marina, Vol. 14
PC1 (Metals/Clay)
PC2 (Organics)
–0.44 (p=0.008)
(p=0.482)
–0.41 (p=0.014)
0.35 (p=0.038)
–0.37 (p=0.037)
0.36 (p=0.029)
(p=0.993)
(p=0.507)
–0.37 (p=0.025)
(p=0.709)
–0.38 (p=0.021)
(p=0.750)
–0.37 (p=0.025)
(p=0.952)
168
Conclusions
In the original study (Carr et al. 2000), toxicity was
correlated to contaminants and inversely to the
macrofauna index of biotic integrity. However,
there was no correlation between sediment contaminants and macrofauna community responses.
Four of five most degraded sites were outfalls
(S1, S2, S9, S15, 2)
In the current study, the four most contaminated outfall sites (S1, S2, S9, S15) had reduced
macrofaunal and meiofaunal ecological integrity
as indicated by reduced levels of abundance and
similar community composition patterns. The
finding that macrofauna was affected by sediment
quality is opposite from the earlier (Carr et al.
2000) study because of the improved multivariate analysis performed on the sediment quality
data presented here. The improved anlaysis also
allowed distinguishing between heavy metal
and organic contaminant effects. Metals negatively affected nematode abundance, but organics
negatively affected macrofauna biotic integrity
and harpacticoids abundance and diversity. Resuspension was a confounding factor with organic
pollutants at five relatively clean outfall sites,
where harpacticoids were absent and macrofauna
were negatively affected. Nematode feeding
group composition was similar at all sites.
Overall, meiofauna results compared well
to macrofauna results, but increased our understanding of contaminant effects caused by
outfalls. In fact, all three benthic responses (by
macrofauna, nematodes, and harpacticoids) were
slightly different, thus adding more information
to use in drawing conclusions.
Acknowledgements
This work benefited by the input from the following
people. Mr. Richard Kalke collected the meiofauna
samples, Dr. Stephen Jarvis helped with the identification of harpacticoid species, Dr. Duane Hope helped
with the identification of some nematode taxa. The
study was partially supported by The Corpus Christi
Bay National Estuary Program under contract number
72-000000-01.
References
Armstong, N. E. (1987). The ecology of open-bay bottoms of Texas, a community profile. U.S. Fish and
Wildlife Service, Biological Report.
Barrera, T. A., L. R. Gamble, G. Jackson, T. Maurer, S.
M. Robertson & M. C. Lee (1995). Contaminants assessment of the Corpus Christi Bay complex, Texas
1988-1989. U.S. Fish and Wildlife Service, Corpus
Christi Ecological Services Field Report.
Bretschnelder, C. I. (1969). Topics in Ocean Engineering.
Gulf Publishing Co., Houston Texas.
Burgess, R. (2001). An improved protocol for separating
meiofauna from sediments using colloidal silica sols.
Mar. Ecol. Prog. Ser. 214: 161-165.
Carr, R. S., D. C. Chapman, B. J. Presley, J. M. Biedenbach, L. Robertson, P. Boothe, R. Kilada, T. Wade
& P. Montagna (1996). Sediment porewater toxicity
assessment studies in the vicinity of offshore oil and
gas production platforms in the Gulf of Mexico.
Can. J. Fish. Aquat. Sci. 53: 2618-2628.
Carr, R. S., P. A. Montagna & M. C. Kennicutt II. (1998).
Sediment quality assessment of storm water outfalls
and other sites of concern in the Corpus Christi Bay
national estuary program study area. Texas A&M
University-Corpus Christi, Corpus Christi Bay
National Estuary Program, CCBNEP-32.
Carr, R. S., P. A. Montagna, J. M. Biedenbach, R. Kalke, M. C. Kennicutt, R. Hooten & G. Cripe (2000).
Impact of storm water outfalls on sediment quality
in Corpus Christi Bay, Texas. Environm. Toxicol.
Chem.19: 561-574.
Corpus Christi Bay [bathometric] National Oceanic
and Atmospheric Administration. August 31 1991.
1 : 40,000. U.S. Government Printing Office, Washington D.C. Map #11309.
Coull, B. C. (1977). Marine flora and fauna of the northeastern United States, Copepoda: Harpacticoida.
NOAA Technical Report NMFS Circular 399. U.S.
Government Printing Office, Washington D.C.:
003-020-00125-4.
Coull, B. C. & T. G. Chandler (1992). Pollution and
meiofauna: field, laboratory, and mesocosm studies.
Oceanogr. Mar. Biol. Ann. Rev. 30: 191-271.
Chapman, P. M. (1990). The sediment quality triad approach to determining pollution-induced degradation. Sci. Total Environ. 97/98: 815-825.
Clarke, K. R. & R. N. Gorley (2001). PRIMER v5: User
Manual/tutorial. Primer-E: Plymouth, U.K.
Clarke, K. R. & R. M. Warwick (2001). Change in
marine communities: an approach to statistical
analysis and interpretation, 2nd edition. Primer-E:
Plymouth, U.K.
Flint, R. W., R. D. Kalke & S. C. Rabalais (1981). Quantification of extensive freshwater input to estuarine
benthos. Contract number IAC (80-81), Texas Department of Water Resources, Austin Texas.
Giere, O. (1993). Meiobenthology, The microscopic fauna
in aquatic sediments. Springer. New York.
Greater Corpus Christi Business Alliance (1999) http://
www.cctexas.org/bsrl/welcome.hml [Accessed 20
February, 1999].
Hall, S. (1994). Physical disturbance and marine benthic
communities: life in unconsolidated sediments.
Oceanogr. Mar. Biol. Ann. Rev. 32: 179-239.
Burgess et al.: Meiofaunal Assessment of Outfalls
169
James, F. C. & C. E. McCulloch (1990). Multivariate
analysis in ecology and systematics, Panacea or Pandora’s box? Ann. Rev. Ecol. System. 21: 129-166.
Kachigan, S. K. (1986). Statistical analysis, an interdisciplinary introduction to univariate and multivariate
methods. Radius Press, New York.
Kennish, M. J. (1998). Pollution impacts on marine biotic
communities. CRC Press LLC, Boca Raton.
Libes, S. (1992). An Introduction to Marine Biochemistry.
Wiley and Sons Inc., New York.
Lindsey, A., W. F. Swietlik & W. E. Hall (1997). Effects
of watershed development and management on
aquatic ecosystems – EPA’s perspective. In: Effects
of watershed development and management on
aquatic ecosystems, Roesner, L. A. (ed.), pp. 4-16.
August 4-9, 1996; Snowbird Resort and Conference
Center, Snowbird, Utah.
Long, E. R., D. D. MacDonald, S. L. Smith & F. D. Calder
(1995). Incidence of adverse biological effects within
ranges of chemical concentrations in marine and
estuarine sediments. Environ. Man. 19: 81-97.
Long, E. R., R. S. Carr & Montagna (2003). Porewater
toxicity tests: value as a component of sediment
quality triad assessments. In: Porewater Toxicity Testing: biological, Chemical, and Ecological
Considerations, Carr, R. S. & M. Nipper (eds.), pp.
163-200. Society of Environmental Toxicology and
Chemistry (SETAC) Press, Pensacola.
MacDonald, D. D., R. S. Carr, F. D. Calder, E. R. Long &
C. G. Ingersoll (1996). Development and evaluation
of sediment quality guidelines for Florida coastal
waters. Ecotoxicology 5: 253-278.
Moens, T. & M. Vincx (1997). Observations on the feeding ecology of estuarine nematodes. J. Mar. Biol.
Assoc. U.K. 77: 211-227.
Martin, C. M. & P. M. Montagna (1995). Environmental
assessment of La Quinta Channel, Corpus Christi
Bay, Texas. Texas J. Sci. 47: 203-222.
Montagna, P. A. & R. D. Kalke (1992). The effect of
freshwater inflow on meiofaunal and macrofaunal
populations in the Guadalupe and Nueces estuaries,
Texas. Estuaries 15: 307-326.
National Buoy System Historical Data (1996). Standard
Meteorological Data for PTAT2 - Port Aransas, TX.
National Oceanic and Atmospheric Administration.
http://www.ndbc.noaa.gov/data/view_text_file
?$filename=ptat2h1996.txt.gz&$dir=/pool/ftp/
data/historical/stdmet/ [Accessed 20 November,
1998].
O’Connor, T. P. & C. N. Ehler (1991). Results from the
NOAA National Status and Trends Program on
distribution end effects of chemical contamination
in the coastal and estuarine United States. Environ.
Mon. Assess. 17: 33-49.
Port of Corpus Christi (1999). The Port of Corpus Christi.
http://www.cctexas.org/port/welcome.htm [Accessed 20 February, 1999].
Postma, H. (1967). Sediment transport and sedimentation in the estuarine environment. Estuaries 83:
158-179.
Meiofauna Marina, Vol. 14
Raffaelli, D. (1987). The behavior of the nematode/
copepod ratio in organic pollution studies. Mar.
Environ. Res. 23: 135-152.
Reynoldson, T. B. & P. Rodriguez (1999). Field methods
and interpretation for sediment bioassessment. In:
Manual Of Bioassessment Of Aquatic Sediment
Quality, Mudroch, A., J. M. Azcue & P. Mudroch
(eds.), pp. 135-162. CRC Press LLC, Boca Raton.
Rhoades, D. C., P. L. McCall & J. Y. Yingst (1978). Disturbance and production on the estuarine seafloor.
Amer. Sci. 66: 577-586.
SAS Institute Inc (1989). SAS User’s guide, version
6, Fourth Edition, Vol. 2, Cary, NC: SAS Institute
Inc.
Seinhorst, J. W. (1959). A rapid method for the transfer
of nematodes from fixative to anhydrous glycerin.
Nematologica 4: 67-69.
Sharma, S. (1996). Applied multivariate techniques. John
Wiley and Sons, Inc. New York.
U.S. Army Corps of Engineers (1977). Shore Protection
Manual, Coastal Research Center. U.S. Government Printing Office, Washington D.C.: 008-02200113-1.
U.S. Census Bureau (1994). U.S. Census Bureau Database. http://venus.census.gov/cdrom/lookup/
916551630 [Accessed 20 February, 1999].
U.S. Environmental Protection Agency (1996). The
national sediment quality survey: a report to
Congress on the extent and severity of sediment
contamination in surface waters of the United States,
EPA-823-D-96-002.
Ward, G. H. & N. E. Armstong (1996). Corpus Christi
Bay National Estuary Program. Ambient water,
sediment and tissue quality of Corpus Christi Bay
study area: present status and historical trends.
Center for Research in Water Resources, University
of Texas at Austin.
Warwick, R. M. (1993). Environmental impact studies on
marine communities: Pragmatical considerations.
Aust. J. Ecol.18: 63-80.
Warwick, R. M. & K. R. Clarke (1998). Taxonomic distinctness and environmental assessment. J. Applied
Ecol. 35: 532-543.
White, W. A., T. R. Calnan, R. A. Morton, R. S. Kimble,
T. G. Littleton, J. H. McGowen, H. S. Nasnce, K. E.
Schmedes & W. L. Fisher (1983). Submerged lands
of Texas, Corpus Christi Area: Sediments, geochemistry, benthic macroinvertebrates, and associated
wetlands. University of Texas at Austin, Bureau of
Economic Geology.
Wieser, W. (1953). Die Beziehung zwischen Mundhöhlengestalt, Ernährungsweise und Vorkommen
bei freilebenden marinen Nematoden. Arkiv Zool.
4: 439-484.
Winer, B. J. (1971). Statistical Principles In Experimental
Design. McGraw-Hill Book Company, New York.
170
Burgess et al.: Meiofaunal Assessment of Outfalls
MEIOFAUNA MARINA
Biodiversity, morphology and ecology of small benthic organisms
INSTRUCTIONS TO CONTRIBUTORS
Meiofauna Marina continues the journal Microfauna Marina.
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Ophelia 28: 157-167.
Fish, A. B. & C. D. Cook (1992). Mussels and other edible
Bivalves. Roe Publ., New York.
Smith, X. Y. (1993). Hydroid development. In: Development of
Marine Invertebrates, vol. 2, Jones, M. N. (ed.), pp. 123199. Doe Press, New York.
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MEIOFAUNA MARINA
Biodiversity, morphology and ecology
of small benthic organisms
Volume 14
ISSN 1611-7557